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Seed Audio 1.0 vs Eleven Multilingual v2: API price, context & features · api14

ByteDance Seed: Seed Audio 1.0 vs ElevenLabs: Eleven Multilingual v2

A side-by-side comparison of ByteDance Seed: Seed Audio 1.0 ($0.53 / minute) and ElevenLabs: Eleven Multilingual v2 ($280.00 / 1M characters) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

	ByteDance Seed: Seed Audio 1.0	ElevenLabs: Eleven Multilingual v2
Provider	ByteDance Seed	ElevenLabs
Audio	$0.53 / minute	-
Characters	-	$280.00 / 1M characters
Context window	-	-
Max output	-	-
Input	text	text
Output	speech	speech
Tool calling
Structured output
Reasoning control
Added	Sep 25, 2026	Oct 7, 2026

In depth

ByteDance Seed: Seed Audio 1.0 is a speech model from ByteDance Seed, and ElevenLabs: Eleven Multilingual v2 is a speech model from ElevenLabs. Both sit in the same category on api14, so you are choosing between two text to speech systems rather than between a speech model and something else. Seed Audio 1.0 carries the provider release date 2026-09-25, while Eleven Multilingual v2 carries 2026-10-07, so the ElevenLabs entry is the more recent of the two by provider release date.

On the capability side the two models line up almost exactly. Both accept text as input and produce speech as output, and neither lists any additional input or output modalities. Neither model exposes a context length figure, so there is no published token window to compare, and neither lists any supported parameters, so you should not plan on passing tunable generation settings through the API for either one. The qualitative comparison fields for cheaper input, cheaper output, bigger context, tool use, structured output and reasoning all come back as not meaningfully different or unknown, which means there is no documented capability that separates them. Treat them as two interchangeable text to speech endpoints with the same shape of request and response.

For practical selection, the decision comes down to voice character and language coverage as you hear them in your own tests, not to any documented feature gap. If you are building a pipeline that turns written content into spoken audio, either model fits the same slot in your architecture, so the sensible approach is to generate the same sample script through both and compare the results on the voices and languages you actually need. Because no context length is published for either, avoid assuming that a very long script can be sent in a single request; chunk long text yourself and stitch the audio, which works the same way for both models.

Calling either model through api14 uses the same OpenAI-compatible interface. You point your client at the api14 base URL, send a request to the speech endpoint with your text, and set the model field to either "bytedance-seed/seed-audio-1-0" or "elevenlabs/eleven-multilingual-v2". Nothing else in the request body needs to change to switch providers, so you can keep one code path and swap the model id, whether that is a hardcoded constant, an environment variable or a routing rule in your own service. Since neither model lists supported parameters, keep the payload minimal and rely on the defaults rather than sending tuning options that may not be honored.

There is no documented case in these facts where one model is clearly the better pick over the other. Neither is listed as cheaper on input or output, neither has a larger context window, and neither is the only one offering tools, structured output or reasoning. The only concrete difference available is the provider release date, with Eleven Multilingual v2 being the later release, but that alone does not establish an advantage. Choose based on which provider's voices and language handling suit your product, and keep the model id as the single switch point so you can move between them without touching the rest of your integration.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "bytedance-seed/seed-audio-1-0" to "elevenlabs/eleven-multilingual-v2" and prompts, streaming and tools keep working.

ByteDance Seed: Seed Audio 1.0 details & playground →ElevenLabs: Eleven Multilingual v2 details & playground →

import { writeFile } from "node:fs/promises";
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api14.com/api/v1",
  apiKey: process.env.API14_API_KEY,
});

const audio = await client.audio.speech.create({
  "model": "elevenlabs/eleven-multilingual-v2",
  "input": "Hello from api14! One API for every model.",
  "voice": "alloy",
  "response_format": "mp3"
});
await writeFile("speech.mp3", Buffer.from(await audio.arrayBuffer()));

ByteDance Seed: Seed Audio 1.0 vs ElevenLabs: Eleven Multilingual v2

Specifications

In depth

Switch with one string

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